Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Conclusion The reduced computational complexity enables real‐time monitoring. …”
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Robust phase-retrieval-based X-ray tomography for morphological assessment of early hepatic echinococcosis infection in rats. by Huiqiang Liu, Chuanshan Zhang, Xiaoxi Fan, Yingni Duan, Tiqiao Xiao, Guohao Du, Yanan Fu, Haigang Liu, Hao Wen

“…Propagation-based phase-contrast computed micro-tomography (PPCT) dominates the non-destructive, three-dimensional inner-structure measurement in synchrotron-based biomedical research due to its simple experimental setup. …”
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DeepCatra: Learning flow‐ and graph‐based behaviours for Android malware detection by Yafei Wu, Jian Shi, Peicheng Wang, Dongrui Zeng, Cong Sun

“…We evaluate the effectiveness of DeepCatra by comparing it with several state‐of‐the‐art detection approaches. …”
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Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm by Firmansyah Nur Budiman, Taufal Hidayat, Rudi Uswarman

“…The performance of the OPS algorithm is evaluated based on objective function values and computation times and is compared with IPM and two popular metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA). …”
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A Biologically Inspired Cost-Efficient Zero-Trust Security Approach for Attacker Detection and Classification in Inter-Satellite Communication Networks by Sridhar Varadala, Hao Xu

“…This approach uses data-driven learning methods to enhance security across satellite communications. It continuously evaluates access requests by applying a cost function that accounts for risk level, likelihood of attack, and computational delay. …”
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Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes by Zeyang Liu, Zhiguo Lu, Yancong Shan

“…The model is trained on the ModelNet40 (Wu et al. in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1912–1920, 2015) dataset and evaluated on both ModelNet40 and ShapeNet (Chang et al. in Shapenet: an information-rich 3d model repository, 2015. arXiv:1512.03012 ) datasets, demonstrating its generalization capabilities. …”
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Lightweight Models for Real-Time Steganalysis: A Comparison of MobileNet, ShuffleNet, and EfficientNet by Achmad Bauravindah, Dhomas Hatta Fudholi

“…Models were assessed based on accuracy, computational efficiency, and resource usage. MobileNet achieved the highest computational speed but with only 63.8% accuracy, falling short of practical application. …”
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Long distance contributions to neutral D-meson mixing from lattice QCD by Matteo Di Carlo, Felix Erben, Maxwell T. Hansen

“…We discuss in detail the required theoretical and computational framework, including the definition and renormalization of the four-quark operators entering the ∆C = 1 weak Hamiltonian, and strategies for evaluating the relevant correlation functions employing variance-reduction techniques. …”
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Moodle como herramienta e-learning en la educación superior: caso preguntas calculadas para estadística by Carlos Alberto Mejía-Rodríguez, Luis Manuel Palmera-Quintero, Miguel Alberto Rincón-Pinzón, Lina Marcela Arévalo-Vergel

“…Considering that the educational process requires assessments to evaluate learning outcomes, this is not easy in fields related to mathematics, such as statistics, since students are often required to perform calculations or operations so that we can verify that the procedure is correct. …”
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Enhanced electrocardiogram classification using Gramian angular field transformation with multi-lead analysis and segmentation techniques by Gi-Won Yoon, Segyeong Joo

“…. • The ConvNext deep learning model, optimized for image classification, was used to evaluate the transformed ECG images, with performance assessed through accuracy, precision, recall, and F1-score metrics.The 512 × 512 resolution achieved the optimal balance between computational efficiency and accuracy. …”
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Flexible and collaborative data group sharing scheme with fairness and verifiability by WANG Shulan, GAN Jinghong, ZHAO Chenbin, ZOU Jiaxu, ZHAO Guoying, ZHANG Yinghui

“…Formal security proofs and performance evaluations demonstrate that the proposed scheme is provably secure, fair, and verifiable. …”
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Supervised Paragraph Vector: Distributed Representations of Words, Documents and Class Labels by Eunjeong L. Park, Sungzoon Cho, Pilsung Kang

“…We also use principal component analysis to visualize all words, documents, and class labels at the same time and show that our method effectively displays the related words and documents for each class label. To evaluate discriminative power and computational efficiency, we perform document classification on four commonly used datasets with various classifiers and achieve comparable classification accuracies to bag-of-words and Paragraph Vector.…”
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Reliability enhancement of EM-based tuning of microwave components using regularized operating band scanning by Slawomir Koziel, Anna Pietrenko-Dabrowska

“…The penalized objective is computed as the minimum of the above combination over the entire scanning range. …”
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A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation by Zimo Zhu, Chuanqiang Yu, Junti Wang

“…These findings highlight the algorithm’s robustness and efficiency in handling large-scale and computationally intensive coordination tasks.…”
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Experimental and Numerical Investigation of Airflow Organization in Modular Data Centres Utilizing Floor Grid Air Supply by Jingping Zhao, Jianlin Wu, Mengying Li

“…In this study, the modular data center is taken as the research object for the purpose of figuring out a way to improve the thermal environment of the computer room, reduce power consumption, and ensure the safe and stable running of servers. …”
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Combined exposure to three heavy metals and the risk of age-related macular degeneration in the Korean population by Soonsu Shin, Jae-Hong Ryoo

“…Logistic regression models evaluated single-metal associations, while quantile g-computation and Bayesian kernel machine regression (BKMR) assessed mixture effects. …”
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Classification of Heart Failure Using Machine Learning: A Comparative Study by Bryan Chulde-Fernández, Denisse Enríquez-Ortega, Cesar Guevara, Paulo Navas, Andrés Tirado-Espín, Paulina Vizcaíno-Imacaña, Fernando Villalba-Meneses, Carolina Cadena-Morejon, Diego Almeida-Galarraga, Patricia Acosta-Vargas

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Unexpected Rare Association of Secondary Breast, Thyroid, and Ovarian Lymphomas in a Female Patient with Burkitt Lymphoma: PET-CT Findings by Salah Nabih Ouriagli

“…Positron emission tomography-computed tomography (PET-CT) with 18F-fluorodeoxyglucose (18F-FDG) performed to evaluate initial extension assessment showed an unexpected association with secondary breast, thyroid, and ovarian lymphomas. …”
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Double outlet right ventricle with giant pulmonary artery aneurysm and severe aortic coarctation: diagnosis with multislice CT by Aylin Hasanefendioğlu-Bayrak, Hatice Oztürkmen-Akay, Mehmet Kervancioğlu, Cihan Akgül-Ozmen, Senem Sentürk, Hasan Nazaroğlu

“… Complex cardiovascular pathologies in the pediatric population are usually evaluated with echocardiography and catheter angiography as initial and advanced imaging of choice, respectively. …”
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Staging Lung Cancer: Current Controversies and Strategies by Riyad Karmy-Jones, Robert H Hyland, Joseph W Lewis, Paul Kvale

“…No patient can be considered automatically "unresectable" when chest radiography and/ or computed tomography demonstrate adenopathy or only suggest local invasion. …”
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